Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
Cathy Wu (cathywu@mit.edu)
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Abstract
Lifelong Multi-Agent Path Finding (MAPF) is critical for modern warehouse automation, which requires multiple robots to continuously navigate conflict-free paths to optimize the overall system throughput. However, the complexity of warehouse environments and the long-term dynamics of lifelong MAPF often demand costly adaptations to classical search-based solvers. While machine learning methods have been explored, their superiority over search-based methods remains..